Quick plot

Convenient wrapper for creating a number of different types of plots using a consistent calling scheme and convert it into ggplotly

p <-  qplot(mpg, wt, data = mtcars)

plotly::ggplotly(p)

p <-  qplot(mpg, wt, data = mtcars, colour = cyl)

plotly::ggplotly(p)

p <-  qplot(mpg, wt, data = mtcars, size = cyl)

plotly::ggplotly(p)

p <-  qplot(mpg, wt, data = mtcars, facets = vs ~ am)

plotly::ggplotly(p)

p <-  qplot(1:10, rnorm(10), colour = runif(10))

plotly::ggplotly(p)

p <-  qplot(1:10, letters[1:10])

plotly::ggplotly(p)

mod <- lm(mpg ~ wt, data = mtcars)
p <-  qplot(resid(mod), fitted(mod))

plotly::ggplotly(p)

f <- function() {
   a <- 1:10
   b <- a ^ 2
   qplot(a, b)
}
p <-  f()

plotly::ggplotly(p)

p <-  qplot(mpg, wt, data = mtcars, colour = I("red"))

plotly::ggplotly(p)

p <-  qplot(mpg, wt, data = mtcars)

plotly::ggplotly(p)

p <-  qplot(mpg, data = mtcars)

plotly::ggplotly(p)

## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

p <-  qplot(y = mpg, data = mtcars)

plotly::ggplotly(p)

p <-  qplot(mpg, wt, data = mtcars, geom = "path")

plotly::ggplotly(p)

p <-  qplot(factor(cyl), wt, data = mtcars, geom = c("boxplot", "jitter"))

plotly::ggplotly(p)

p <-  qplot(mpg, data = mtcars, geom = "dotplot")

plotly::ggplotly(p)

## Bin width defaults to 1/30 of the range of the data. Pick better value with `binwidth`.